Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are present, so the description bears full responsibility. It does not disclose behavioral traits such as input length limits, language support, whether the operation is read-only, or the response format. The description only states the core function without offering surrounding behavioral context.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, front-loaded sentence that begins with the verb 'Analyze' and immediately states the resource and the three analysis outputs. It is concise and free of unnecessary words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool is simple with one required parameter and no output schema. The description lists the analysis dimensions but does not explain return values, units, or edge cases. It is adequate for a basic tool but leaves gaps around expected outputs and behavioral constraints.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema fully documents the single 'text' parameter with 'Text to analyze' (100% coverage). The description adds context by listing what will be computed (readability, vocabulary richness, keywords), but does not add new format, constraints, or syntax details, so the baseline score of 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb 'Analyze' and specifies three concrete analysis dimensions (readability, vocabulary richness, keyword extraction), clearly stating the tool's function. It does not explicitly name sibling alternatives, but the combination of analyses distinguishes it from dedicated tools like amazon-keyword-extractor or word-counter.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus siblings such as amazon-keyword-extractor, keyword-difficulty-checker, or word-counter. The description implies a general text analysis scenario but offers no explicit use cases, prerequisites, or exclusions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.